R2jags: Using R to Run 'JAGS'

Providing wrapper functions to implement Bayesian analysis in JAGS. Some major features include monitoring convergence of a MCMC model using Rubin and Gelman Rhat statistics, automatically running a MCMC model till it converges, and implementing parallel processing of a MCMC model for multiple chains.

Version:	0.7-1
Depends:	R (≥ 2.14.0), rjags (≥ 3-3)
Imports:	abind, coda (≥ 0.13), graphics, grDevices, methods, R2WinBUGS, parallel, stats, utils
Suggests:	testthat (≥ 3.0.0)
Published:	2021-08-05
Author:	Yu-Sung Su, Masanao Yajima,
Maintainer:	Yu-Sung Su <suyusung at tsinghua.edu.cn>
BugReports:	https://github.com/suyusung/R2jags/issues/
License:	GPL (> 2)
NeedsCompilation:	no
SystemRequirements:	JAGS (http://mcmc-jags.sourceforge.net)
Materials:	ChangeLog
In views:	Bayesian
CRAN checks:	R2jags results

Documentation:

Reference manual:

R2jags.pdf

Downloads:

Package source:	R2jags_0.7-1.tar.gz
Windows binaries:	r-devel: R2jags_0.7-1.zip, r-release: R2jags_0.7-1.zip, r-oldrel: R2jags_0.7-1.zip
macOS binaries:	r-release (arm64): R2jags_0.7-1.tgz, r-release (x86_64): R2jags_0.7-1.tgz, r-oldrel: R2jags_0.7-1.tgz
Old sources:	R2jags archive

Reverse dependencies:

Reverse depends:	bmeta, CCTpack, eivtools, hbbr, HETOP, IUPS, miscF, simmr
Reverse imports:	afthd, agRee, bamdit, BayesOrdDesign, bhmbasket, boral, BTSPAS, HiLDA, IIVpredictor, isoWater, jarbes, longit, MBNMAdose, MBNMAtime, MIIPW, missingHE, MixSIAR, SeqFeatR, SurviMChd
Reverse suggests:	AICcmodavg, BCEA, bridgesampling, broom.mixed, emdbook, ftsa, gap, LakeMetabolizer, rFIA

Linking:

Please use the canonical form https://CRAN.R-project.org/package=R2jags to link to this page.